Pandas Profiling Report

Dataset statistics

Number of variables	8
Number of observations	768
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	48.1 KiB
Average record size in memory	64.2 B

Variable types

Numeric	7
Categorical	1

Alerts

`SkinThickness` is highly overall correlated with `Insulin`	High correlation
`Insulin` is highly overall correlated with `SkinThickness`	High correlation
`BloodPressure` has 35 (4.6%) zeros	Zeros
`SkinThickness` has 227 (29.6%) zeros	Zeros
`Insulin` has 374 (48.7%) zeros	Zeros
`BMI` has 11 (1.4%) zeros	Zeros

Reproduction

Analysis started	2023-12-14 05:47:26.543411
Analysis finished	2023-12-14 05:47:43.720862
Duration	17.18 seconds
Software version	pandas-profiling v3.6.6
Download configuration	config.json

Glucose
Real number (ℝ)

Distinct	136
Distinct (%)	17.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	120.89453

Minimum	0
Maximum	199
Zeros	5
Zeros (%)	0.7%
Negative	0
Negative (%)	0.0%
Memory size	6.1 KiB

Quantile statistics

Minimum	0
5-th percentile	79
Q1	99
median	117
Q3	140.25
95-th percentile	181
Maximum	199
Range	199
Interquartile range (IQR)	41.25

Descriptive statistics

Standard deviation	31.972618
Coefficient of variation (CV)	0.26446703
Kurtosis	0.64077982
Mean	120.89453
Median Absolute Deviation (MAD)	20
Skewness	0.1737535
Sum	92847
Variance	1022.2483
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
99	17	2.2%
100	17	2.2%
111	14	1.8%
129	14	1.8%
125	14	1.8%
106	14	1.8%
112	13	1.7%
108	13	1.7%
95	13	1.7%
105	13	1.7%
Other values (126)	626	81.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5	0.7%
44	1	0.1%
56	1	0.1%
57	2	0.3%
61	1	0.1%
62	1	0.1%
65	1	0.1%
67	1	0.1%
68	3	0.4%
71	4	0.5%

Value	Count	Frequency (%)
199	1	0.1%
198	1	0.1%
197	4	0.5%
196	3	0.4%
195	2	0.3%
194	3	0.4%
193	2	0.3%
191	1	0.1%
190	1	0.1%
189	4	0.5%

BloodPressure
Real number (ℝ)

Distinct	47
Distinct (%)	6.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	69.105469

Minimum	0
Maximum	122
Zeros	35
Zeros (%)	4.6%
Negative	0
Negative (%)	0.0%
Memory size	6.1 KiB

Quantile statistics

Minimum	0
5-th percentile	38.7
Q1	62
median	72
Q3	80
95-th percentile	90
Maximum	122
Range	122
Interquartile range (IQR)	18

Descriptive statistics

Standard deviation	19.355807
Coefficient of variation (CV)	0.28009082
Kurtosis	5.1801566
Mean	69.105469
Median Absolute Deviation (MAD)	8
Skewness	-1.843608
Sum	53073
Variance	374.64727
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=47)

Value	Count	Frequency (%)
70	57	7.4%
74	52	6.8%
78	45	5.9%
68	45	5.9%
72	44	5.7%
64	43	5.6%
80	40	5.2%
76	39	5.1%
60	37	4.8%
0	35	4.6%
Other values (37)	331	43.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	35	4.6%
24	1	0.1%
30	2	0.3%
38	1	0.1%
40	1	0.1%
44	4	0.5%
46	2	0.3%
48	5	0.7%
50	13	1.7%
52	11	1.4%

Value	Count	Frequency (%)
122	1	0.1%
114	1	0.1%
110	3	0.4%
108	2	0.3%
106	3	0.4%
104	2	0.3%
102	1	0.1%
100	3	0.4%
98	3	0.4%
96	4	0.5%

SkinThickness
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	51
Distinct (%)	6.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	20.536458

Minimum	0
Maximum	99
Zeros	227
Zeros (%)	29.6%
Negative	0
Negative (%)	0.0%
Memory size	6.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	23
Q3	32
95-th percentile	44
Maximum	99
Range	99
Interquartile range (IQR)	32

Descriptive statistics

Standard deviation	15.952218
Coefficient of variation (CV)	0.77677549
Kurtosis	-0.52007187
Mean	20.536458
Median Absolute Deviation (MAD)	12
Skewness	0.1093725
Sum	15772
Variance	254.47325
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	227	29.6%
32	31	4.0%
30	27	3.5%
27	23	3.0%
23	22	2.9%
33	20	2.6%
28	20	2.6%
18	20	2.6%
31	19	2.5%
19	18	2.3%
Other values (41)	341	44.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	227	29.6%
7	2	0.3%
8	2	0.3%
10	5	0.7%
11	6	0.8%
12	7	0.9%
13	11	1.4%
14	6	0.8%
15	14	1.8%
16	6	0.8%

Value	Count	Frequency (%)
99	1	0.1%
63	1	0.1%
60	1	0.1%
56	1	0.1%
54	2	0.3%
52	2	0.3%
51	1	0.1%
50	3	0.4%
49	3	0.4%
48	4	0.5%

Insulin
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	186
Distinct (%)	24.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	79.799479

Minimum	0
Maximum	846
Zeros	374
Zeros (%)	48.7%
Negative	0
Negative (%)	0.0%
Memory size	6.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	30.5
Q3	127.25
95-th percentile	293
Maximum	846
Range	846
Interquartile range (IQR)	127.25

Descriptive statistics

Standard deviation	115.244
Coefficient of variation (CV)	1.4441699
Kurtosis	7.2142596
Mean	79.799479
Median Absolute Deviation (MAD)	30.5
Skewness	2.2722509
Sum	61286
Variance	13281.18
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	374	48.7%
105	11	1.4%
130	9	1.2%
140	9	1.2%
120	8	1.0%
94	7	0.9%
180	7	0.9%
100	7	0.9%
135	6	0.8%
115	6	0.8%
Other values (176)	324	42.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	374	48.7%
14	1	0.1%
15	1	0.1%
16	1	0.1%
18	2	0.3%
22	1	0.1%
23	2	0.3%
25	1	0.1%
29	1	0.1%
32	1	0.1%

Value	Count	Frequency (%)
846	1	0.1%
744	1	0.1%
680	1	0.1%
600	1	0.1%
579	1	0.1%
545	1	0.1%
543	1	0.1%
540	1	0.1%
510	1	0.1%
495	2	0.3%

BMI
Real number (ℝ)

Distinct	248
Distinct (%)	32.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	31.992578

Minimum	0
Maximum	67.1
Zeros	11
Zeros (%)	1.4%
Negative	0
Negative (%)	0.0%
Memory size	6.1 KiB

Quantile statistics

Minimum	0
5-th percentile	21.8
Q1	27.3
median	32
Q3	36.6
95-th percentile	44.395
Maximum	67.1
Range	67.1
Interquartile range (IQR)	9.3

Descriptive statistics

Standard deviation	7.8841603
Coefficient of variation (CV)	0.24643717
Kurtosis	3.2904429
Mean	31.992578
Median Absolute Deviation (MAD)	4.6
Skewness	-0.42898159
Sum	24570.3
Variance	62.159984
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
32	13	1.7%
31.6	12	1.6%
31.2	12	1.6%
0	11	1.4%
32.4	10	1.3%
33.3	10	1.3%
30.1	9	1.2%
32.8	9	1.2%
32.9	9	1.2%
30.8	9	1.2%
Other values (238)	664	86.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	11	1.4%
18.2	3	0.4%
18.4	1	0.1%
19.1	1	0.1%
19.3	1	0.1%
19.4	1	0.1%
19.5	2	0.3%
19.6	3	0.4%
19.9	1	0.1%
20	1	0.1%

Value	Count	Frequency (%)
67.1	1	0.1%
59.4	1	0.1%
57.3	1	0.1%
55	1	0.1%
53.2	1	0.1%
52.9	1	0.1%
52.3	2	0.3%
50	1	0.1%
49.7	1	0.1%
49.6	1	0.1%

DiabetesPedigreeFunction
Real number (ℝ)

Distinct	517
Distinct (%)	67.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.4718763

Minimum	0.078
Maximum	2.42
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.1 KiB

Quantile statistics

Minimum	0.078
5-th percentile	0.14035
Q1	0.24375
median	0.3725
Q3	0.62625
95-th percentile	1.13285
Maximum	2.42
Range	2.342
Interquartile range (IQR)	0.3825

Descriptive statistics

Standard deviation	0.3313286
Coefficient of variation (CV)	0.70215138
Kurtosis	5.5949535
Mean	0.4718763
Median Absolute Deviation (MAD)	0.1675
Skewness	1.9199111
Sum	362.401
Variance	0.10977864
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.258	6	0.8%
0.254	6	0.8%
0.268	5	0.7%
0.207	5	0.7%
0.261	5	0.7%
0.259	5	0.7%
0.238	5	0.7%
0.19	4	0.5%
0.263	4	0.5%
0.299	4	0.5%
Other values (507)	719	93.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.078	1	0.1%
0.084	1	0.1%
0.085	2	0.3%
0.088	2	0.3%
0.089	1	0.1%
0.092	1	0.1%
0.096	1	0.1%
0.1	1	0.1%
0.101	1	0.1%
0.102	1	0.1%

Value	Count	Frequency (%)
2.42	1	0.1%
2.329	1	0.1%
2.288	1	0.1%
2.137	1	0.1%
1.893	1	0.1%
1.781	1	0.1%
1.731	1	0.1%
1.699	1	0.1%
1.698	1	0.1%
1.6	1	0.1%

Age
Real number (ℝ)

Distinct	52
Distinct (%)	6.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	33.240885

Minimum	21
Maximum	81
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.1 KiB

Quantile statistics

Minimum	21
5-th percentile	21
Q1	24
median	29
Q3	41
95-th percentile	58
Maximum	81
Range	60
Interquartile range (IQR)	17

Descriptive statistics

Standard deviation	11.760232
Coefficient of variation (CV)	0.35378816
Kurtosis	0.64315889
Mean	33.240885
Median Absolute Deviation (MAD)	7
Skewness	1.1295967
Sum	25529
Variance	138.30305
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
22	72	9.4%
21	63	8.2%
25	48	6.2%
24	46	6.0%
23	38	4.9%
28	35	4.6%
26	33	4.3%
27	32	4.2%
29	29	3.8%
31	24	3.1%
Other values (42)	348	45.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
21	63	8.2%
22	72	9.4%
23	38	4.9%
24	46	6.0%
25	48	6.2%
26	33	4.3%
27	32	4.2%
28	35	4.6%
29	29	3.8%
30	21	2.7%

Value	Count	Frequency (%)
81	1	0.1%
72	1	0.1%
70	1	0.1%
69	2	0.3%
68	1	0.1%
67	3	0.4%
66	4	0.5%
65	3	0.4%
64	1	0.1%
63	4	0.5%

Outcome
Categorical

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	43.6 KiB

0	500
1	268

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	768
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	500	65.1%
1	268	34.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	500	65.1%
1	268	34.9%

Most occurring characters

Value	Count	Frequency (%)
0	500	65.1%
1	268	34.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	768	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	500	65.1%
1	268	34.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	768	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	500	65.1%
1	268	34.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	768	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	500	65.1%
1	268	34.9%

Auto

Heatmap
Table

	Glucose	BloodPressure	SkinThickness	Insulin	BMI	DiabetesPedigreeFunction	Age	Outcome
Glucose	1.000	0.235	0.060	0.213	0.231	0.091	0.285	0.487
BloodPressure	0.235	1.000	0.126	-0.007	0.293	0.030	0.351	0.152
SkinThickness	0.060	0.126	1.000	0.541	0.444	0.180	-0.067	0.208
Insulin	0.213	-0.007	0.541	1.000	0.193	0.221	-0.114	0.159
BMI	0.231	0.293	0.444	0.193	1.000	0.141	0.131	0.317
DiabetesPedigreeFunction	0.091	0.030	0.180	0.221	0.141	1.000	0.043	0.173
Age	0.285	0.351	-0.067	-0.114	0.131	0.043	1.000	0.314
Outcome	0.487	0.152	0.208	0.159	0.317	0.173	0.314	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	Glucose	BloodPressure	SkinThickness	Insulin	BMI	DiabetesPedigreeFunction	Age	Outcome
0	148	72	35	0	33.6	0.63	50	1
1	85	66	29	0	26.6	0.35	31	0
2	183	64	0	0	23.3	0.67	32	1
3	89	66	23	94	28.1	0.17	21	0
4	137	40	35	168	43.1	2.29	33	1
5	116	74	0	0	25.6	0.20	30	0
6	78	50	32	88	31.0	0.25	26	1
7	115	0	0	0	35.3	0.13	29	0
8	197	70	45	543	30.5	0.16	53	1
9	125	96	0	0	0.0	0.23	54	1

	Glucose	BloodPressure	SkinThickness	Insulin	BMI	DiabetesPedigreeFunction	Age	Outcome
758	106	76	0	0	37.5	0.20	26	0
759	190	92	0	0	35.5	0.28	66	1
760	88	58	26	16	28.4	0.77	22	0
761	170	74	31	0	44.0	0.40	43	1
762	89	62	0	0	22.5	0.14	33	0
763	101	76	48	180	32.9	0.17	63	0
764	122	70	27	0	36.8	0.34	27	0
765	121	72	23	112	26.2	0.24	30	0
766	126	60	0	0	30.1	0.35	47	1
767	93	70	31	0	30.4	0.32	23	0

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Missing values

Sample